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PMID: 40478136 Published · ppublish English Journal Article

Investigation on the cross-infection control performance of interactive cascade ventilation in multi-scenario of winter.

Journal of building engineering ·Vol. 65 ·2023-04-15 ·页码 105728

Li H, Lan Y, Ma X, Kong X, Fan M

Abstract

With the wide spread of COVID-19, numerous cases demonstrate that proper ventilation method can reduce the cross-infection risk obviously. Interactive cascade ventilation (ICV) as a recently proposed ventilation method, the advantage of indoor environment construction has been proven. However, few studies are conducted to investigate the virus prevention and control characteristics of ICV, which is particularly important under epidemic normalizing. Hence, this study explored and compared the cross-infection control performance of three ventilation strategies, namely mixing ventilation (MV), stratum ventilation (SV), and interactive cascade ventilation (ICV), with a validated CFD model. A typical office was selected as the background scene, where an infected person coughs, sneezes with standing or sitting at different positions. Exposure doses, health infection risk, and disease burden (DB) were employed as the evaluation indicators under different ventilation methods of multi-scenario. The research results indicated that the average aerosol exposure dose among the human respiratory region under ICV was 0.29 g/day, which was reduced by 67 % and 50 % compared with MV and SV. In addition, only in ICV can the health infection risk meets the EPA standard. The average disease health burden for exposed persons under ICV was 0.93 × 10-6 DALYs pppy, which was 37 % and 70 % lower than SV and MV. The findings obtained from this study confirm that ICV performs excellently in reducing the cross-infection risk, providing the theoretical basis for future epidemic prevention and control.

Keywords
COVID-19 Cross-infection risk Interactive cascade ventilation Ventilation strategies Virus prevention and control performance
作者与单位
共 5 位作者,点击展开单位 / ORCID
Li Han
School of Energy and Environmental Engineering, Hebei University of Technology, China.
Lan Yuer
School of Energy and Environmental Engineering, Hebei University of Technology, China.
Ma Xiuqin
School of Energy and Environmental Engineering, Hebei University of Technology, China.
Kong Xiangfei
School of Energy and Environmental Engineering, Hebei University of Technology, China.
Fan Man
School of Energy and Environmental Engineering, Hebei University of Technology, China.
Article Info
Journal
Journal of building engineering
Abbr.
J Build Eng
ISSN
2352-7102
Published
2023-04-15
电子出版
2022-00-15
页码
105728
Language
English
Country/Region
England
NLM ID
9918880588606676
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